A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment
Using advanced Differential Interferometric Synthetic Aperture Radar (InSAR) with small baseline subsets (SBAS) and Permanent Scatter Interferometry (PSI) techniques and C-band Sentinel-1A data, this research monitored the surface displacement of a large old landslide at Xuecheng town, Lixian County...
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MDPI AG
2021-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/13/2552 |
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| author | Siyuan Ma Chong Xu Xiaoyi Shao Xiwei Xu Aichun Liu |
| author_facet | Siyuan Ma Chong Xu Xiaoyi Shao Xiwei Xu Aichun Liu |
| author_sort | Siyuan Ma |
| collection | DOAJ |
| description | Using advanced Differential Interferometric Synthetic Aperture Radar (InSAR) with small baseline subsets (SBAS) and Permanent Scatter Interferometry (PSI) techniques and C-band Sentinel-1A data, this research monitored the surface displacement of a large old landslide at Xuecheng town, Lixian County, Sichuan Province, China. Based on the MassMov2D model, the effect of the dynamic process and deposit thickness of the potentially unstable rock mass (deformation rate < −70 mm/year) on this landslide body were numerically simulated. Combined with terrain data and images generated by an Unmanned Aerial Vehicle (UAV), the driving factors of this old landslide were analyzed. The InSAR results show that the motion rate in the middle part of the landslide body is the largest, with a range of −55 to −80 mm/year on average, whereas those of the upper part and toe area were small, with a range of −5 to −20 mm/year. Our research suggests that there is a correlation between the LOS (line of sight) deformation rate and rainfall. In rainy seasons, particularly from May to July, the deformation rate is relatively high. In addition, the analysis suggests that SBAS can provide smoother displacement time series, even in areas with vegetation and the steepest sectors of the landslide. The simulation results show that the unstable rock mass may collapse and form a barrier dam with a maximum thickness of about 16 m at the Zagunao river in the future. This study demonstrates that combining temporal UAV measurements and InSAR techniques from Sentinel-1A SAR data allows early recognition and deformation monitoring of old landslide reactivation in complex mountainous areas. In addition, the information provided by InSAR can increase understanding of the deformation process of old landslides in this area, which would enhance urban safety and assist in disaster mitigation. |
| first_indexed | 2024-03-10T09:57:07Z |
| format | Article |
| id | doaj.art-d4b9b161777d41a2a7a7242305f7cb86 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:57:07Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d4b9b161777d41a2a7a7242305f7cb862023-11-22T02:16:57ZengMDPI AGRemote Sensing2072-42922021-06-011313255210.3390/rs13132552A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability AssessmentSiyuan Ma0Chong Xu1Xiaoyi Shao2Xiwei Xu3Aichun Liu4Institute of Geology, China Earthquake Administration, Beijing 100029, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaNational Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing 100085, ChinaUsing advanced Differential Interferometric Synthetic Aperture Radar (InSAR) with small baseline subsets (SBAS) and Permanent Scatter Interferometry (PSI) techniques and C-band Sentinel-1A data, this research monitored the surface displacement of a large old landslide at Xuecheng town, Lixian County, Sichuan Province, China. Based on the MassMov2D model, the effect of the dynamic process and deposit thickness of the potentially unstable rock mass (deformation rate < −70 mm/year) on this landslide body were numerically simulated. Combined with terrain data and images generated by an Unmanned Aerial Vehicle (UAV), the driving factors of this old landslide were analyzed. The InSAR results show that the motion rate in the middle part of the landslide body is the largest, with a range of −55 to −80 mm/year on average, whereas those of the upper part and toe area were small, with a range of −5 to −20 mm/year. Our research suggests that there is a correlation between the LOS (line of sight) deformation rate and rainfall. In rainy seasons, particularly from May to July, the deformation rate is relatively high. In addition, the analysis suggests that SBAS can provide smoother displacement time series, even in areas with vegetation and the steepest sectors of the landslide. The simulation results show that the unstable rock mass may collapse and form a barrier dam with a maximum thickness of about 16 m at the Zagunao river in the future. This study demonstrates that combining temporal UAV measurements and InSAR techniques from Sentinel-1A SAR data allows early recognition and deformation monitoring of old landslide reactivation in complex mountainous areas. In addition, the information provided by InSAR can increase understanding of the deformation process of old landslides in this area, which would enhance urban safety and assist in disaster mitigation.https://www.mdpi.com/2072-4292/13/13/2552Interferometric Synthetic Aperture Radar (InSAR)Multi Temporal InSAR (MT-InSAR)Unmanned Aerial Vehicle (UAV)MassMov2Dnumerical simulationold landslide |
| spellingShingle | Siyuan Ma Chong Xu Xiaoyi Shao Xiwei Xu Aichun Liu A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment Remote Sensing Interferometric Synthetic Aperture Radar (InSAR) Multi Temporal InSAR (MT-InSAR) Unmanned Aerial Vehicle (UAV) MassMov2D numerical simulation old landslide |
| title | A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment |
| title_full | A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment |
| title_fullStr | A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment |
| title_full_unstemmed | A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment |
| title_short | A Large Old Landslide in Sichuan Province, China: Surface Displacement Monitoring and Potential Instability Assessment |
| title_sort | large old landslide in sichuan province china surface displacement monitoring and potential instability assessment |
| topic | Interferometric Synthetic Aperture Radar (InSAR) Multi Temporal InSAR (MT-InSAR) Unmanned Aerial Vehicle (UAV) MassMov2D numerical simulation old landslide |
| url | https://www.mdpi.com/2072-4292/13/13/2552 |
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